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Contact


Email

m.hiller@unimelb.edu.au

Credentials


Position
Research Fellow in AI
School of Computing and Information Systems
Education
Doctor of Philosophy
University of Melbourne
Masters
Friedrich-Alexander University Erlangen-Nürnberg
Bachelors Degree
Friedrich-Alexander University Erlangen-Nürnberg
ORCID

0000-0002-8133-0102

Dr Markus Hiller

Research Fellow in AI
School of Computing and Information Systems

22 Scholarly works
0 Projects

HIGHLIGHTS

  • 2024

    Thesis / Dissertation

    Improving the Efficiency of Deep Visual Representation Learning: Less Data and Less Compute
  • 2024

    Conference Proceedings

    Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
    DOI: 10.52202/079017-2985
  • 2023

    Journal article

    Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
    DOI: 10.1109/TPAMI.2022.3213073
  • 2022

    Conference Proceedings

    On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
    DOI: 10.52202/068431-0293
  • 2022

    Conference Proceedings

    Rethinking Generalization in Few-Shot Classification
    DOI: 10.52202/068431-0259
  • 2019

    Conference Proceedings

    Learning Topometric Semantic Maps from Occupancy Grids
    DOI: 10.1109/IROS40897.2019.8968111
  • 2019

    Conference Proceedings

    Neural Network Aided Potential Field Approach for Pedestrian Prediction
    DOI: 10.1109/SDF.2019.8916659
Markus Hiller

RECENT SCHOLARLY WORKS

  • 2019

    Conference Proceedings

    6DoF pose-estimation pipeline for texture-less industrial components in bin picking applications
    DOI: 10.1109/ECMR.2019.8870920
  • 2019

    Conference Proceedings

    Systematic Analysis of the PMBM, PHD, JPDA and GNN Multi-Target Tracking Filters
    DOI: 10.23919/fusion43075.2019.9011349
  • 2019

    Conference Proceedings

    World Modeling for Mobile Platforms Using a Contextual Object-Based Representation of the Environment
    DOI: 10.1109/CYBER.2018.8688197

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